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Big data requirements in current and next fusion research experiments

Conference Paper
Publication Date:
2018
abstract:
The present and future data management requirements for fusion experiments are presented along with the currently adopted solutions. Even if the presented solution fulfil the requirements of the current experiments, the next generation fusion devices are likely to produce/require an unpreceded amount of data. For this reason, the solutions adopted nowadays, and also foreseen for the experiments under construction, might prove not enough scalable. Information Technology already provides efficient solutions for big data management, successfully employed for large cloud applications and social media. In particular, MongoDB, Cassandra and Hadoop represent promising candidates for the next generation experiments because their combined usage covers the specific data requirements for fusion research.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Big Data; Nuclear Fusion Experiment; Data Acquisition; Databases
List of contributors:
Taliercio, Cesare; Luchetta, ADRIANO FRANCESCO; Manduchi, Gabriele
Authors of the University:
LUCHETTA ADRIANO FRANCESCO
MANDUCHI GABRIELE
TALIERCIO CESARE
Handle:
https://iris.cnr.it/handle/20.500.14243/370801
Book title:
2018 IEEE International Symposium on Circuits and Systems (ISCAS)
Published in:
IEEE INTERNATIONAL CONFERENCE ON CIRCUITS AND SYSTEMS
Series
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URL

https://ieeexplore.ieee.org/document/8351712/
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